{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ultimate Guide to Web Scraping with Python Part 1: Requests and BeautifulSoup\n",
    "\n",
    "After the 2016 election I became much more interested in media bias and the manipulation of individuals through advertising. This series will be a walkthrough of a web scraping project that monitors political news from both left and right wing media outlets and performs an analysis on the rhetoric being used, the ads being displayed, and the sentiment of certain topics.\n",
    "\n",
    "The first part of the series will we be getting media bias data and focus on only working locally on your computer, but if you wish to learn how to deploy something like this into production, feel free to leave a comment and let me know."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Limit your impact when scraping\n",
    "\n",
    "Every time you load a web page you're making a request to a server, and when you're just a human with a browser there's not a lot of damage you can do. With a Python script that can execute thousands of requests a second if coded incorrectly, you could end up costing the website owner a lot of money and possibly bring down their site (see [Denial-of-service attack (DoS)](https://en.wikipedia.org/wiki/Denial-of-service_attack)).\n",
    "\n",
    "With this in mind, we want to be very careful with how we program scrapers to avoid crashing sites and causing damage. Every time we scrape a website we want to attempt to **make only one request per page**. We don't want to be making a request every time our parsing or other logic doesn't work out, so we need to parse only after we've saved the page locally.\n",
    "\n",
    "If I'm just doing some quick tests, I'll usually start out in a Jupyter notebook because you can request a web page in one cell and have that web page available to every cell below it without making a new request. Since this article is available as a Jupyter notebook, you will see how it works if you choose that format.\n",
    "\n",
    "### How to save HTML locally\n",
    "After we make a request and retrieve a web page's content, we can store that content locally with Python's `open()` function. To do so we need to use the argument `wb`, which stands for \"write bytes\". This let's us avoid any encoding issues when saving.\n",
    "\n",
    "Below is a function that wraps the `open()` function to reduce a lot of repetitive coding later on:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "def save_html(html, path):\n",
    "    with open(path, 'wb') as f:\n",
    "        f.write(html)\n",
    "        \n",
    "        \n",
    "save_html(r.content, 'google_com')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Assume we have captured the HTML from google.com in `html`, which you'll see later how to do. After running this function we will now have a file in the same directory as this notebook called `google_com` that contains the HTML."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### How to open/read HTML from a local file\n",
    "To retrieve our saved file we'll make another function to wrap reading the HTML back into `html`. We need to use `rb` for \"read bytes\" in this case."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "def open_html(path):\n",
    "    with open(path, 'rb') as f:\n",
    "        return f.read()\n",
    "    \n",
    "    \n",
    "html = open_html('google_com')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The open function is doing just the opposite: read the HTML from `google_com`. If our script fails, notebook closes, computer shutsdown, etc., we no longer need to request google.com again, lessening our impact on their servers. While it doesn't matter much with Google since they have a lot of resources, smaller sites with smaller servers will benefit from this.\n",
    "\n",
    "I save almost every page and parse later when web scraping as a safety precaution."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Follow the rules for scrapers and bots\n",
    "Each site usually has a **robots.txt** on the root of their domain. This is where the website owner explicitly states what bots are allowed to do on their site. Simply go to example.com/robots.txt and you should find a text file that looks something like this:\n",
    "\n",
    "```text\n",
    "User-agent: *\n",
    "Crawl-delay: 10\n",
    "Allow: /pages/\n",
    "Disallow: /scripts/\n",
    "\n",
    "# more stuff\n",
    "```\n",
    "\n",
    "The *User-agent* field is the name of the bot and the rules that follow are what the bot should follow. Some robots.txt will have many User-agents with different rules. Common bots are *googlebot*, *bingbot*, and *applebot*, all of which you can probably guess the purpose and origin of.\n",
    "\n",
    "We don't really need to provide a User-agent when scraping, so `User-agent: *` is what we would follow. A `*` means that the following rules apply to *all* bots (that's us). \n",
    "\n",
    "The *Crawl-delay* tells us the number of seconds to wait before requests, so in this example we need to wait 10 seconds before making another request.\n",
    "\n",
    "*Allow* gives us specific URLs we're *allowed* to request with bots, and vice versa for *Disallow*. \n",
    "In this example we're allowed to request anything in the **/pages/** subfolder which means anything that starts with **example.com/pages/**. On the other hand, we are disallowed from scraping anything from the **/scripts/** subfolder.\n",
    "\n",
    "Many times you'll see a `*` next to Allow or Disallow which means you are either allowed or not allowed to scrape everything on the site. \n",
    "\n",
    "Sometimes there will be a disallow all pages followed by allowed pages like this:\n",
    "```text\n",
    "Disallow: *\n",
    "Allow: /pages/\n",
    "```\n",
    "This means that you're not allowed to scrape anything *except* the subfolder */pages/*. Essentially, you just want to read the rules in order where the next rule overrides the previous rule."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scraping Project: Getting Media Bias Data\n",
    "\n",
    "This project will primarily be run through a Jupyter notebook, which is done for teaching purposes and is not the usual way scrapers are programmed. After showing you the pieces, we'll put it all together into a Python script that can be run from command line or your IDE of choice.\n",
    "\n",
    "### Making web requests\n",
    "With Python's `requests` library we're getting a web page by using `get()` on the URL. The response `r` contains many things, but using `r.content` will give us the HTML. Once we have the HTML we can then parse it for the data we're interested in analyzing.\n",
    "\n",
    "There's an interesting website called *AllSides* that has a [media bias rating table](https://www.allsides.com/media-bias/media-bias-ratings) where users can agree or disagree with the rating. \n",
    "\n",
    "<img src=\"assets/Media Bias Ratings AllSides.jpg\">\n",
    "\n",
    "Since there's nothing in their robots.txt that disallows us from scraping this section of the site, I'm assuming it's okay to go ahead and extract this data for our project. Let's request the this first page:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install requests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 303,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b'    <script> \\n\\tvar frontPageName = \"\";\\n\\tvar siteUrl = \"https://www.allsides.com/media-bias/media-bia'\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "\n",
    "url = 'https://www.allsides.com/media-bias/media-bias-ratings'\n",
    "\n",
    "r = requests.get(url)\n",
    "\n",
    "print(r.content[:100])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since we essentially have a giant string of HTML, we can print a slice of 100 characters to confirm we have the source of the page. Let's start extracting data.\n",
    "\n",
    "### Parsing HTML with BeautifulSoup\n",
    "#### What does BeautifulSoup do?\n",
    "We used `requests` to get the page from the AllSides server, but now we need the BeautifulSoup library to parse HTML and XML. When we pass our HTML to the BeautifulSoup constructor we get an object in return that we can then navigate like the original tree structure of the DOM. \n",
    "\n",
    "This way we can find elements using names of tags, classes, IDs, and through relationships to other elements, like getting the children and siblings of elements.\n",
    "\n",
    "#### Creating a new soup object\n",
    "We create a new BeautifulSoup object by passing the constructor our newly acquired HTML content and the type of parser we want to use:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install beautifulsoup4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 304,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bs4 import BeautifulSoup\n",
    "\n",
    "soup = BeautifulSoup(r.content, 'html.parser')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This `soup` object defines a bunch of methods — many of which can achieve the same result — that we can use to extract data from the HTML. Let's start with finding elements.\n",
    "\n",
    "#### Finding elements and data\n",
    "To find elements and data inside our HTML we'll be using `select_one`, which returns a single element, and `select`, which returns a list of elements (even if only one item exists). Both of these methods use CSS selectors to find elements, so if you're rusty on how CSS selectors work here's a quick refresher:\n",
    "\n",
    "**A CSS selector refresher**\n",
    "1. To get a tag, such as `<a></a>`, `<body></body>`, use the naked name for the tag. E.g. `select_one('a')` gets an anchor/link element, `select_one('body')` gets the body element\n",
    "2. `.temp` gets an element with a class of **temp**, E.g. to get `<a class=\"temp\"></a>` use `select_one('.temp')`\n",
    "3. `#temp` gets an element with an id of **temp**, E.g. to get `<a id=\"temp\"></a>` use `select_one('#temp')`\n",
    "4. `.temp.example` gets an element with both classes **temp** and **example**, E.g. to get `<a class=\"temp example\"></a>` use `select_one('.temp.example')`\n",
    "5. `.temp a` gets an anchor element nested inside of a parent element with class **temp**, E.g. to get `<div class=\"temp\"><a></a></div>` use `select_one('.temp a')`. Note the space between `.temp` and `a`.\n",
    "6. `.temp .example` gets an element with class **example** nested inside of a parent element with class **temp**, E.g. to get `<div class=\"temp\"><a class=\"example\"></a></div>` use `select_one('.temp .example')`. Again, note the space between `.temp` and `.example`. The space tells the selector that the class after the space is a child of the class before the space.\n",
    "7. ids, such as `<a id=one></a>`, are unique so you can usually use the id selector by itself to get the right element. No need to do nested selectors when using ids.\n",
    "\n",
    "There's many more selectors for for doing various tasks, like selecting certain child elements, specific links, etc., that you can [look up when needed](https://www.w3schools.com/cssref/css_selectors.asp). The selectors above get us pretty close to everything we would need for now.\n",
    "\n",
    "**Tips on figuring out how to select certain elements**\n",
    "\n",
    "Most browsers have a quick way of finding the selector for an element using their developer tools. In Chrome, we can quickly find selectors for elements by\n",
    "1. Right-click on the the element then select \"Inspect\" in the menu. Developer tools opens and and highlights the element we right-clicked\n",
    "2. Right-click the code element in developer tools, hover over \"Copy\" in the menu, then click \"Copy selector\"\n",
    "\n",
    "Sometimes it'll be a little off and we need to scan up a few elements to find the right one. Here's what it looks like to find the selector and Xpath, another type of selector, in Chrome:\n",
    "\n",
    "<br />\n",
    "<video src=\"assets/css selector vs xpath.mp4\" width=\"700px\" controls></video>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's start! Getting data out of a table\n",
    "Our data is housed in a table on AllSides, and by inspecting the header element we can find the code that renders the table and rows. What we need to do is `select` all the rows from the table and then parse out the information from each row.\n",
    "\n",
    "<br />\n",
    "<video src=\"assets/finding table in HTML.mp4\" width=\"700px\" controls></video>\n",
    "\n",
    "Simplifying the table's HTML, the structure looks like this (comments `<!-- -->` added by me):\n",
    "\n",
    "```html\n",
    "<table>\n",
    "    <thead> \n",
    "        <!-- header information --> \n",
    "    </thead>\n",
    "    <tbody>\n",
    "        <tr class=\"odd views-row-first\">                                       <!-- begin table row -->\n",
    "            <td class=\"views-field views-field-title source-title\">            <!-- table cell -->\n",
    "                <!-- outlet name -->\n",
    "            </td> \n",
    "            <td class=\"views-field views-field-field-bias-image\">              <!-- table cell -->\n",
    "                <!-- bias data -->\n",
    "            </td> \n",
    "            <td class=\"views-field views-field-nothing-1 what-do-you-think\">   <!-- table cell -->\n",
    "                <!-- agree / disagree buttons -->\n",
    "            </td> \n",
    "            <td class=\"views-field views-field-nothing community-feedback\">    <!-- table cell -->\n",
    "                <!-- agree / disagree data -->\n",
    "            </td> \n",
    "        </tr>                                                                  <!-- end table row -->\n",
    "        <!-- more rows -->\n",
    "    </tbody>\n",
    "</table>\n",
    "```\n",
    "\n",
    "So to get each row, we just select all `<tr>` inside `<tbody>`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 305,
   "metadata": {},
   "outputs": [],
   "source": [
    "rows = soup.select('tbody tr')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`tbody tr` tells the selector to extract all `<tr>` (**t**able **r**ow) tags that are children of the `<tbody>` body tag. If there were more than one table on this page we would have to make a more specific selector, but since this is the only table, we're good to go.\n",
    "\n",
    "Now we have a list of HTML table rows that each contain four cells: \n",
    "- News source name and link\n",
    "- Bias data\n",
    "- Agreement buttons\n",
    "- Community feedback data\n",
    "\n",
    "Below is a breakdown of how to extract each one."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### News source name\n",
    "<br />\n",
    "<video src=\"assets/news source name.mp4\" width=\"700px\" controls></video>\n",
    "\n",
    "Let's look at the first cell:\n",
    "```html\n",
    "<td class=\"views-field views-field-title source-title\">\n",
    "    <a href=\"/news-source/abc-news-media-bias\">ABC News</a>\n",
    "</td>\n",
    "```\n",
    "\n",
    "The outlet name (*ABC News*) is the text of an anchor tag that's nested inside a `<td>` tag, which is a cell — or **t**able **d**ata tag.\n",
    "\n",
    "\n",
    "Getting the outlet name is pretty easy: just get the first row in `rows` and run a `select_one` off that object:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 306,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ABC News\n"
     ]
    }
   ],
   "source": [
    "row = rows[0]\n",
    "\n",
    "name = row.select_one('.source-title').text.strip()\n",
    "\n",
    "print(name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The only class we needed to use in this case was `.source-title` since `.views-field` looks to be just a class each row is given for styling and doesn't provide any uniqueness.\n",
    "\n",
    "Notice that we didn't need to worry about selecting the anchor tag `a` that contains the text. When we use `.text` is gets all text in that element, and since \"ABC News\" is the only text, that's all we need to do. Bear in mind that using `select` or `select_one` will give you the whole element with the tags included, so we need `.text` to give us the text between the tags.\n",
    "\n",
    "`.strip()` ensures all the whitespace surrounding the name is removed. This is a good thing to always do since many websites use whitespace as a way to visually pad the text inside elements.\n",
    "\n",
    "You'll notice that we can run BeautifulSoup methods right off one of the rows. That's because the rows become their own BeautifulSoup objects when we make a select from another BeautifulSoup object. On the other hand, our `name` variable is no longer a BeautifulSoup object because we called `.text`.\n",
    "\n",
    "### News source page link\n",
    "We also need the link to this news source's page on AllSides. If we look back at the HTML we'll see that in this case we *do* want to select the anchor in order to get the `href` that contains the link, so let's do that:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://www.allsides.com/news-source/abc-news-media-bias\n"
     ]
    }
   ],
   "source": [
    "allsides_page = row.select_one('.source-title a')['href']\n",
    "allsides_page = 'https://www.allsides.com' + allsides_page\n",
    "\n",
    "print(allsides_page)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is a relative path in the HTML, so we prepend the site's URL to make it a link we can request later. \n",
    "\n",
    "Getting the link was a bit different than just selecting an element. We had to access an *attribute* (`href`) of the element, which is done using brackets, like how we would access a Python dictionary. This will be the same for other attributes of elements, like `src` in images and videos.\n",
    "\n",
    "### Bias rating\n",
    "\n",
    "<br />\n",
    "<video src=\"assets/bias rating.mp4\" width=\"700px\" controls></video>\n",
    "\n",
    "We can see that the rating is displayed as an image so how can we get the rating in words? Looking at the HTML notice the link that surrounds the image has the text we need:\n",
    "\n",
    "```html\n",
    "<td class=\"views-field views-field-field-bias-image\">\n",
    "    <a href=\"/media-bias/left-center\">\n",
    "        <img src=\"...\" width=\"144\" height=\"24\" alt=\"Political News Media Bias Rating: Lean Left\" title=\"Political News Media Bias Rating: Lean Left\">\n",
    "    </a>          \n",
    "</td>\n",
    "```\n",
    "\n",
    "We could also pull the `alt` attribute, but the link looks easier. Let's grab it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "left-center\n"
     ]
    }
   ],
   "source": [
    "bias = row.select_one('.views-field-field-bias-image a')['href']\n",
    "bias = bias.split('/')[-1]\n",
    "\n",
    "print(bias)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we selected the anchor tag by using the class name and tag together: `.views-field-field-bias-image` is the class of the `<td>` and `<a>` is for the anchor nested inside. \n",
    "\n",
    "After that we extract the `href` just like before, but now we only want the last part of the URL for the name of the bias so we split on slashes and get the last element of that split (*left-center*).\n",
    "\n",
    "### Community feedback data\n",
    "\n",
    "<br />\n",
    "<video src=\"assets/agree ratio community feedback.mp4\" width=\"700px\" controls></video>\n",
    "\n",
    "The last thing to scrape is the agree/disagree ratio from the community feedback area. The HTML of this cell is pretty convoluted due to the styling, but here's the basic structure:\n",
    "\n",
    "```html\n",
    "<td class=\"views-field views-field-nothing community-feedback\">\n",
    "    <div class=\"getratingval\">\n",
    "        <div class=\"rate-widget-4 rate-widget clear-block rate-average rate-widget-yesno\" id=\"rate-node-76-4-1\">\n",
    "             <div class=\"item-list\">\n",
    "                <ul>\n",
    "                    <li class=\"first\">\n",
    "                        <a class=\"rate-button rate-btn\" href=\"...\" id=\"rate-button-3\">agree</a>\n",
    "                    </li>\n",
    "                    <li class=\"last\">\n",
    "                        <a class=\"rate-button rate-btn\" href=\"...\" id=\"rate-button-4\">disagree</a>\n",
    "                    </li>\n",
    "                </ul>\n",
    "            </div>\n",
    "            <div class=\"rate-details\">\n",
    "                <span class=\"agree\">8241</span>/<span class=\"disagree\">6568</span>\n",
    "            </div>\n",
    "        </div>\n",
    "    </div>\n",
    "</td>\n",
    "```\n",
    "\n",
    "The numbers we want are located in two `span` elements in the last `div`. Both `span` elements have classes that are unique in this cell so we can use them to make the selection:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Agree: 8411, Disagree: 6662, Ratio 1.26\n"
     ]
    }
   ],
   "source": [
    "agree = row.select_one('.agree').text\n",
    "agree = int(agree)\n",
    "\n",
    "disagree = row.select_one('.disagree').text\n",
    "disagree = int(disagree)\n",
    "\n",
    "agree_ratio = agree / disagree\n",
    "\n",
    "print(f\"Agree: {agree}, Disagree: {disagree}, Ratio {agree_ratio:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using `.text` will return a string, so we need to convert them to integers in order to calculate the ratio. \n",
    "\n",
    "**Side note:** If you've never seen this way of formatting print statements in Python, the `f` at the front allows us to insert variables right into the string using curly braces. The `:.2f` is a way to format floats to only show two decimals places.\n",
    "\n",
    "If you look at the page in your browser you'll notice that they say how much the community is in agreement by using \"somewhat agree\", \"strongly agree\", etc. so how do we get that? If we try to select it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None\n"
     ]
    }
   ],
   "source": [
    "print(row.select_one('.community-feedback-rating-page'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It shows up as None because this element is rendered with Javascript and `requests` can't pull HTML rendered with Javascript. We'll be looking at how to get data rendered with JS in a later article, but since this is the only piece of information that's rendered this way we can manually recreate the text.\n",
    "\n",
    "To find the JS files they're using, just CTRL+F for \".js\" in the page source and open the files in a new tab to look for that logic. \n",
    "\n",
    "It turned out the logic was located in the eleventh JS file and they have a function that calculates the text and color with these parameters:\n",
    "\n",
    "<table width=\"300px\">\n",
    "    <thead>\n",
    "        <td>Range</td>\n",
    "        <td>Agreeance</td>\n",
    "    </thead>\n",
    "    <tr>\n",
    "        <td>$ratio > 3$</td>\n",
    "        <td>absolutely agrees</td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "        <td>$2 < ratio \\leq 3$</td>\n",
    "        <td>strongly agrees</td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "        <td>$1.5 < ratio \\leq 2$</td>\n",
    "        <td>agrees</td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "        <td>$1 < ratio \\leq 1.5$</td>\n",
    "        <td>somewhat agrees</td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "        <td>$ratio = 1$</td>\n",
    "        <td>neutral</td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "        <td>$0.67 < ratio < 1$</td>\n",
    "        <td>somewhat disgrees</td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "        <td>$0.5 < ratio \\leq 0.67$</td>\n",
    "        <td>disgrees</td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "        <td>$0.33 < ratio \\leq 0.5$</td>\n",
    "        <td>strongly disagrees</td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "        <td>$ratio \\leq 0.33$</td>\n",
    "        <td>absolutely disagrees</td>\n",
    "    </tr>\n",
    "</table>\n",
    "\n",
    "Let's make a function that replicates this logic:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "strongly agrees\n"
     ]
    }
   ],
   "source": [
    "def get_agreeance_text(ratio):\n",
    "    if ratio > 3: return \"absolutely agrees\"\n",
    "    elif 2 < ratio <= 3: return \"strongly agrees\"\n",
    "    elif 1.5 < ratio <= 2: return \"agrees\"\n",
    "    elif 1 < ratio <= 1.5: return \"somewhat agrees\"\n",
    "    elif ratio == 1: return \"neutral\"\n",
    "    elif 0.67 < ratio < 1: return \"somewhat disagrees\"\n",
    "    elif 0.5 < ratio <= 0.67: return \"disagrees\"\n",
    "    elif 0.33 < ratio <= 0.5: return \"strongly disagrees\"\n",
    "    elif ratio <= 0.33: return \"absolutely disagrees\"\n",
    "    else: return None\n",
    "    \n",
    "print(get_agreeance_text(2.5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have the general logic for a single row and we can generate the agreeance text, let's create a loop that gets data from every row on the first page:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "data= []\n",
    "\n",
    "for row in rows:\n",
    "    d = dict()\n",
    "    \n",
    "    d['name'] = row.select_one('.source-title').text.strip()\n",
    "    d['allsides_page'] = 'https://www.allsides.com' + row.select_one('.source-title a')['href']\n",
    "    d['bias'] = row.select_one('.views-field-field-bias-image a')['href'].split('/')[-1]\n",
    "    d['agree'] = int(row.select_one('.agree').text)\n",
    "    d['disagree'] = int(row.select_one('.disagree').text)\n",
    "    d['agree_ratio'] = d['agree'] / d['disagree']\n",
    "    d['agreeance_text'] = get_agreeance_text(d['agree_ratio'])\n",
    "    \n",
    "    data.append(d)   "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the loop we can combine any multi-step extractions into one to create the values in the least number of steps.\n",
    "\n",
    "Our `data` list now contains a dictionary containing key information for every row. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'name': 'ABC News', 'allsides_page': 'https://www.allsides.com/news-source/abc-news-media-bias', 'bias': 'left-center', 'agree': 8411, 'disagree': 6662, 'agree_ratio': 1.2625337736415492, 'agreeance_text': 'somewhat agrees'}\n"
     ]
    }
   ],
   "source": [
    "print(data[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Keep in mind that **this is still only the first page**. The list on *AllSides* is three pages long as of this writing, so we need to modify this loop to get the other pages.\n",
    "\n",
    "### Requesting and parsing multiple pages\n",
    "\n",
    "Notice that the URLs for each page follow a pattern. The first page has no parameters on the URL, but the next pages do; specifically they attach a `?page=#` to the URL where '#' is the page number. \n",
    "\n",
    "Right now, the easiest way to get all pages is just to manually make a list of these three pages and loop over them. If we were working on a project with thousands of pages we might build a more automated way of constructing/finding the next URLs, but for now this works."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "metadata": {},
   "outputs": [],
   "source": [
    "pages = [\n",
    "    'https://www.allsides.com/media-bias/media-bias-ratings',\n",
    "    'https://www.allsides.com/media-bias/media-bias-ratings?page=1',\n",
    "    'https://www.allsides.com/media-bias/media-bias-ratings?page=2'\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "According to AllSides' *robots.txt* we need to make sure we wait ten seconds before each request. \n",
    "\n",
    "Our loop will:\n",
    "- request a page\n",
    "- parse the page\n",
    "- wait ten seconds\n",
    "- repeat for next page.\n",
    "\n",
    "Remember, we've already tested our parsing above on a page that was cached locally so we know it works. You'll want to make sure to do this **before** making a loop that performs requests to prevent having to reloop if you forgot to parse something.\n",
    "\n",
    "By combining all the steps we've done up to this point and adding a loop over pages, here's how it looks:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "metadata": {},
   "outputs": [],
   "source": [
    "from time import sleep\n",
    "\n",
    "data= []\n",
    "\n",
    "for page in pages:\n",
    "    r = requests.get(page)\n",
    "    soup = BeautifulSoup(r.content, 'html.parser')\n",
    "    \n",
    "    rows = soup.select('tbody tr')\n",
    "\n",
    "    for row in rows:\n",
    "        d = dict()\n",
    "\n",
    "        d['name'] = row.select_one('.source-title').text.strip()\n",
    "        d['allsides_page'] = 'https://www.allsides.com' + row.select_one('.source-title a')['href']\n",
    "        d['bias'] = row.select_one('.views-field-field-bias-image a')['href'].split('/')[-1]\n",
    "        d['agree'] = int(row.select_one('.agree').text)\n",
    "        d['disagree'] = int(row.select_one('.disagree').text)\n",
    "        d['agree_ratio'] = d['agree'] / d['disagree']\n",
    "        d['agreeance_text'] = get_agreeance_text(d['agree_ratio'])\n",
    "\n",
    "        data.append(d)\n",
    "    \n",
    "    sleep(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we have a list of dictionaries for each row on all three pages. \n",
    "\n",
    "To cap it off, we want to get the real URL to the news source, not just the link to their presence on AllSides. To do this, we will need to get the AllSides page and look for the link.\n",
    "\n",
    "If we go to [ABC News' page](https://www.allsides.com/news-source/abc-news-media-bias) there's a row of external links to Facebook, Twitter, Wikipedia, and the ABC News website. The HTML for that sections looks like this:\n",
    "\n",
    "```html\n",
    "<div class=\"row-fluid source-links gray-bg-box\">\n",
    "\t<div class=\"container\">\t\n",
    "\t\t<a href=\"https://www.facebook.com/ABCNews/\" class=\"facebook\">\n",
    "            <i class=\"fa fa-facebook\" aria-hidden=\"true\"></i><span>Facebook</span>\n",
    "        </a>\n",
    "\t\t<a href=\"https://twitter.com/ABC\" class=\"twitter\">\n",
    "            <i class=\"fa fa-twitter\" aria-hidden=\"true\"></i>\n",
    "            <span>Twitter</span>\n",
    "        </a>\n",
    "\t\t<a href=\"https://en.wikipedia.org/wiki/ABC_News\" class=\"wikipedia\">\n",
    "            <i class=\"fa fa-wikipedia-w\" aria-hidden=\"true\"></i>\n",
    "            <span>Wikipedia</span>\n",
    "        </a>\n",
    "\t\t<a href=\"http://abcnews.go.com/\" class=\"www\"><i class=\"fa fa-globe\" aria-hidden=\"true\">\n",
    "            </i><span>ABC News</span>\n",
    "        </a>\n",
    "\t\t<a href=\"/contact\" class=\"improve-this-page\">\n",
    "            <i class=\"fa fa-line-chart\" aria-hidden=\"true\"></i>\n",
    "            <span>Improve this page</span>\n",
    "        </a>\n",
    "\t</div>\n",
    "</div>\n",
    "```\n",
    "Notice the anchor tag (`<a>`) that contains the link to ABC News has a class of \"www\". Pretty easy to get with what we've already learned:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "website = soup.select_one('.www')['href']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So let's make another loop to request the AllSides page and get links for each news source. Unfortunately, some pages don't have a link in this grey bar to the news source, which brings up a good point: **always account for elements to randomly not exist**.\n",
    "\n",
    "Up until now we've assumed elements exist in the tables we scraped, but it's always a good idea to program scrapers in way so they don't break when an element goes missing.\n",
    "\n",
    "Using `select_one` or `select` will always return None or an empty list if nothing is found, so in this loop we'll check if we found the website element or not so it doesn't throw an Exception when trying to access the `href` attribute.\n",
    "\n",
    "Finally, since there's 265 news source pages and the wait time between pages is 10 seconds, it's going to take ~44 minutes to do this. Instead of blindly not knowing our progress, let's use the `tqdm` library to give us a nice progress bar:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0376ef4b33e8409d9869cef9c536f773",
       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>HBox</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "HBox(children=(IntProgress(value=0, max=265), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from tqdm import tqdm_notebook\n",
    "\n",
    "for d in tqdm_notebook(data):\n",
    "    r = requests.get(d['allsides_page'])\n",
    "    soup = BeautifulSoup(r.content, 'html.parser')\n",
    "    \n",
    "    try:\n",
    "        website = soup.select_one('.www')['href']\n",
    "        d['website'] = website\n",
    "    except TypeError:\n",
    "        pass\n",
    "    \n",
    "    sleep(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`tqdm` is a little weird at first, but essentially `tqdm_notebook` is just wrapping around our data list to produce a progress bar. We are still able to access each dictionary, `d`, just as we would normally. Note that `tqdm_notebook` is only for Jupyter notebooks. In regular editors you'll just `import tqdm from tqdm` and use `tqdm` instead.\n",
    "\n",
    "### Saving our data\n",
    "So what do we have now? At this moment, `data` is a list of dictionaries, each of which contains all the data from the tables as well as the websites from each individual news source's page on AllSides.\n",
    "\n",
    "The first thing we'll want to do now is save that data to a file so we don't have to make those requests again. We'll be storing the data as JSON since it's already in that form anyway:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 267,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "with open('allsides.json', 'w') as f:\n",
    "    json.dump(data, f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To load it back in when you need it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 268,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('allsides.json', 'r') as f:\n",
    "    data = json.load(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you're not familiar with JSON, just quickly open `allsides.json` in an editor and see what it looks like. It should look almost exactly like what `data` looks like if we print it in Python: a list of dictionaries."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Brief Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before ending this article I think it would be worthwhile to actually see what's interesting about this data we just retrieved. So, let's answer a couple of questions.\n",
    "\n",
    "**Which ratings for outlets does the community *absolutely agree* on?**\n",
    "\n",
    "To find where the community absolutely agrees we can do a simple list comprehension that checks each `dict` for the agreeance text we want:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Outlet               Bias                \n",
      "------------------------------\n",
      "C-SPAN               center              \n",
      "Current Affairs      left                \n",
      "InfoWars             right               \n",
      "Jacobin              left                \n",
      "Mashable             left                \n",
      "Mother Jones         left                \n",
      "PoliticusUSA         left                \n",
      "Red State            right               \n",
      "RollingStone.com     left                \n",
      "Splinter             left                \n",
      "The Daily Signal     right               \n",
      "Vice                 left                \n"
     ]
    }
   ],
   "source": [
    "abs_agree = [d for d in data if d['agreeance_text'] == 'absolutely agrees']\n",
    "\n",
    "print(f\"{'Outlet':<20} {'Bias':<20}\")\n",
    "print(\"-\" * 30)\n",
    "\n",
    "for d in abs_agree:\n",
    "    print(f\"{d['name']:<20} {d['bias']:<20}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using some string formatting we can make it look somewhat tabular. Interestingly, *C-SPAN* is the only center bias that the community absolutely agrees on. The others for left and right aren't that surprising.\n",
    "\n",
    "### Making analysis easier with Pandas\n",
    "\n",
    "**Which ratings for outlets does the community *absolutely disagree* on?**\n",
    "\n",
    "To make analysis a little easier, we can also load our JSON data into a Pandas DataFrame as well. This is easy with Pandas since they have a simple function for reading JSON into a DataFrame.\n",
    "\n",
    "As an aside, if you've never used Pandas, Matplotlib, or any of the other data science libraries, I would definitely recommend checking out [Jose Portilla's data science course]() for a great intro to these tools and many machine learning concepts.\n",
    "\n",
    "Now to the DataFrame:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>agree</th>\n",
       "      <th>agree_ratio</th>\n",
       "      <th>agreeance_text</th>\n",
       "      <th>allsides_page</th>\n",
       "      <th>bias</th>\n",
       "      <th>disagree</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ABC News</th>\n",
       "      <td>8355</td>\n",
       "      <td>1.260371</td>\n",
       "      <td>somewhat agrees</td>\n",
       "      <td>https://www.allsides.com/news-source/abc-news-...</td>\n",
       "      <td>left-center</td>\n",
       "      <td>6629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Al Jazeera</th>\n",
       "      <td>1996</td>\n",
       "      <td>0.694986</td>\n",
       "      <td>somewhat disagrees</td>\n",
       "      <td>https://www.allsides.com/news-source/al-jazeer...</td>\n",
       "      <td>center</td>\n",
       "      <td>2872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AllSides</th>\n",
       "      <td>2615</td>\n",
       "      <td>2.485741</td>\n",
       "      <td>strongly agrees</td>\n",
       "      <td>https://www.allsides.com/news-source/allsides-0</td>\n",
       "      <td>allsides</td>\n",
       "      <td>1052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AllSides Community</th>\n",
       "      <td>1760</td>\n",
       "      <td>1.668246</td>\n",
       "      <td>agrees</td>\n",
       "      <td>https://www.allsides.com/news-source/allsides-...</td>\n",
       "      <td>allsides</td>\n",
       "      <td>1055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AlterNet</th>\n",
       "      <td>1226</td>\n",
       "      <td>2.181495</td>\n",
       "      <td>strongly agrees</td>\n",
       "      <td>https://www.allsides.com/news-source/alternet</td>\n",
       "      <td>left</td>\n",
       "      <td>562</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    agree  agree_ratio      agreeance_text  \\\n",
       "name                                                         \n",
       "ABC News             8355     1.260371     somewhat agrees   \n",
       "Al Jazeera           1996     0.694986  somewhat disagrees   \n",
       "AllSides             2615     2.485741     strongly agrees   \n",
       "AllSides Community   1760     1.668246              agrees   \n",
       "AlterNet             1226     2.181495     strongly agrees   \n",
       "\n",
       "                                                        allsides_page  \\\n",
       "name                                                                    \n",
       "ABC News            https://www.allsides.com/news-source/abc-news-...   \n",
       "Al Jazeera          https://www.allsides.com/news-source/al-jazeer...   \n",
       "AllSides              https://www.allsides.com/news-source/allsides-0   \n",
       "AllSides Community  https://www.allsides.com/news-source/allsides-...   \n",
       "AlterNet                https://www.allsides.com/news-source/alternet   \n",
       "\n",
       "                           bias  disagree  \n",
       "name                                       \n",
       "ABC News            left-center      6629  \n",
       "Al Jazeera               center      2872  \n",
       "AllSides               allsides      1052  \n",
       "AllSides Community     allsides      1055  \n",
       "AlterNet                   left       562  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.read_json(open('allsides.json', 'r'))\n",
    "\n",
    "df.set_index('name', inplace=True)\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now filter the DataFrame by \"agreeance_text\":"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>agree</th>\n",
       "      <th>agree_ratio</th>\n",
       "      <th>agreeance_text</th>\n",
       "      <th>allsides_page</th>\n",
       "      <th>bias</th>\n",
       "      <th>disagree</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CNBC</th>\n",
       "      <td>1239</td>\n",
       "      <td>0.398905</td>\n",
       "      <td>strongly disagrees</td>\n",
       "      <td>https://www.allsides.com/news-source/cnbc</td>\n",
       "      <td>center</td>\n",
       "      <td>3106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quillette</th>\n",
       "      <td>45</td>\n",
       "      <td>0.416667</td>\n",
       "      <td>strongly disagrees</td>\n",
       "      <td>https://www.allsides.com/news-source/quillette...</td>\n",
       "      <td>right-center</td>\n",
       "      <td>108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Courier-Journal</th>\n",
       "      <td>64</td>\n",
       "      <td>0.410256</td>\n",
       "      <td>strongly disagrees</td>\n",
       "      <td>https://www.allsides.com/news-source/courier-j...</td>\n",
       "      <td>left-center</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Economist</th>\n",
       "      <td>779</td>\n",
       "      <td>0.485964</td>\n",
       "      <td>strongly disagrees</td>\n",
       "      <td>https://www.allsides.com/news-source/economist</td>\n",
       "      <td>left-center</td>\n",
       "      <td>1603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Observer (New York)</th>\n",
       "      <td>123</td>\n",
       "      <td>0.484252</td>\n",
       "      <td>strongly disagrees</td>\n",
       "      <td>https://www.allsides.com/news-source/observer</td>\n",
       "      <td>center</td>\n",
       "      <td>254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Oracle</th>\n",
       "      <td>33</td>\n",
       "      <td>0.485294</td>\n",
       "      <td>strongly disagrees</td>\n",
       "      <td>https://www.allsides.com/news-source/oracle</td>\n",
       "      <td>center</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Republican</th>\n",
       "      <td>108</td>\n",
       "      <td>0.392727</td>\n",
       "      <td>strongly disagrees</td>\n",
       "      <td>https://www.allsides.com/news-source/republican</td>\n",
       "      <td>center</td>\n",
       "      <td>275</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         agree  agree_ratio      agreeance_text  \\\n",
       "name                                                              \n",
       "CNBC                      1239     0.398905  strongly disagrees   \n",
       "Quillette                   45     0.416667  strongly disagrees   \n",
       "The Courier-Journal         64     0.410256  strongly disagrees   \n",
       "The Economist              779     0.485964  strongly disagrees   \n",
       "The Observer (New York)    123     0.484252  strongly disagrees   \n",
       "The Oracle                  33     0.485294  strongly disagrees   \n",
       "The Republican             108     0.392727  strongly disagrees   \n",
       "\n",
       "                                                             allsides_page  \\\n",
       "name                                                                         \n",
       "CNBC                             https://www.allsides.com/news-source/cnbc   \n",
       "Quillette                https://www.allsides.com/news-source/quillette...   \n",
       "The Courier-Journal      https://www.allsides.com/news-source/courier-j...   \n",
       "The Economist               https://www.allsides.com/news-source/economist   \n",
       "The Observer (New York)      https://www.allsides.com/news-source/observer   \n",
       "The Oracle                     https://www.allsides.com/news-source/oracle   \n",
       "The Republican             https://www.allsides.com/news-source/republican   \n",
       "\n",
       "                                 bias  disagree  \n",
       "name                                             \n",
       "CNBC                           center      3106  \n",
       "Quillette                right-center       108  \n",
       "The Courier-Journal       left-center       156  \n",
       "The Economist             left-center      1603  \n",
       "The Observer (New York)        center       254  \n",
       "The Oracle                     center        68  \n",
       "The Republican                 center       275  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['agreeance_text'] == 'strongly disagrees']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It looks like much of the community disagrees strongly with certain outlets being rated with a \"center\" bias.\n",
    "\n",
    "Let's make a quick visualization of agreeance. Since there's too many news sources to plot so let's pull only those with the most votes. To do that, we can make a new column that counts the total votes and then sort by that value:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>agree</th>\n",
       "      <th>agree_ratio</th>\n",
       "      <th>agreeance_text</th>\n",
       "      <th>allsides_page</th>\n",
       "      <th>bias</th>\n",
       "      <th>disagree</th>\n",
       "      <th>total_votes</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CNN (Web News)</th>\n",
       "      <td>22907</td>\n",
       "      <td>0.970553</td>\n",
       "      <td>somewhat disagrees</td>\n",
       "      <td>https://www.allsides.com/news-source/cnn-media...</td>\n",
       "      <td>left-center</td>\n",
       "      <td>23602</td>\n",
       "      <td>46509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fox News</th>\n",
       "      <td>17410</td>\n",
       "      <td>0.650598</td>\n",
       "      <td>disagrees</td>\n",
       "      <td>https://www.allsides.com/news-source/fox-news-...</td>\n",
       "      <td>right-center</td>\n",
       "      <td>26760</td>\n",
       "      <td>44170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washington Post</th>\n",
       "      <td>21434</td>\n",
       "      <td>1.682022</td>\n",
       "      <td>agrees</td>\n",
       "      <td>https://www.allsides.com/news-source/washingto...</td>\n",
       "      <td>left-center</td>\n",
       "      <td>12743</td>\n",
       "      <td>34177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York Times - News</th>\n",
       "      <td>12275</td>\n",
       "      <td>0.570002</td>\n",
       "      <td>disagrees</td>\n",
       "      <td>https://www.allsides.com/news-source/new-york-...</td>\n",
       "      <td>left-center</td>\n",
       "      <td>21535</td>\n",
       "      <td>33810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HuffPost</th>\n",
       "      <td>15056</td>\n",
       "      <td>0.834127</td>\n",
       "      <td>somewhat disagrees</td>\n",
       "      <td>https://www.allsides.com/news-source/huffpost-...</td>\n",
       "      <td>left</td>\n",
       "      <td>18050</td>\n",
       "      <td>33106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Politico</th>\n",
       "      <td>11047</td>\n",
       "      <td>0.598656</td>\n",
       "      <td>disagrees</td>\n",
       "      <td>https://www.allsides.com/news-source/politico-...</td>\n",
       "      <td>left-center</td>\n",
       "      <td>18453</td>\n",
       "      <td>29500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washington Times</th>\n",
       "      <td>18934</td>\n",
       "      <td>2.017475</td>\n",
       "      <td>strongly agrees</td>\n",
       "      <td>https://www.allsides.com/news-source/washingto...</td>\n",
       "      <td>right-center</td>\n",
       "      <td>9385</td>\n",
       "      <td>28319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NPR News</th>\n",
       "      <td>15751</td>\n",
       "      <td>1.481889</td>\n",
       "      <td>somewhat agrees</td>\n",
       "      <td>https://www.allsides.com/news-source/npr-media...</td>\n",
       "      <td>center</td>\n",
       "      <td>10629</td>\n",
       "      <td>26380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wall Street Journal - News</th>\n",
       "      <td>9872</td>\n",
       "      <td>0.627033</td>\n",
       "      <td>disagrees</td>\n",
       "      <td>https://www.allsides.com/news-source/wall-stre...</td>\n",
       "      <td>center</td>\n",
       "      <td>15744</td>\n",
       "      <td>25616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Townhall</th>\n",
       "      <td>7632</td>\n",
       "      <td>0.606967</td>\n",
       "      <td>disagrees</td>\n",
       "      <td>https://www.allsides.com/news-source/townhall-...</td>\n",
       "      <td>right</td>\n",
       "      <td>12574</td>\n",
       "      <td>20206</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            agree  agree_ratio      agreeance_text  \\\n",
       "name                                                                 \n",
       "CNN (Web News)              22907     0.970553  somewhat disagrees   \n",
       "Fox News                    17410     0.650598           disagrees   \n",
       "Washington Post             21434     1.682022              agrees   \n",
       "New York Times - News       12275     0.570002           disagrees   \n",
       "HuffPost                    15056     0.834127  somewhat disagrees   \n",
       "Politico                    11047     0.598656           disagrees   \n",
       "Washington Times            18934     2.017475     strongly agrees   \n",
       "NPR News                    15751     1.481889     somewhat agrees   \n",
       "Wall Street Journal - News   9872     0.627033           disagrees   \n",
       "Townhall                     7632     0.606967           disagrees   \n",
       "\n",
       "                                                                allsides_page  \\\n",
       "name                                                                            \n",
       "CNN (Web News)              https://www.allsides.com/news-source/cnn-media...   \n",
       "Fox News                    https://www.allsides.com/news-source/fox-news-...   \n",
       "Washington Post             https://www.allsides.com/news-source/washingto...   \n",
       "New York Times - News       https://www.allsides.com/news-source/new-york-...   \n",
       "HuffPost                    https://www.allsides.com/news-source/huffpost-...   \n",
       "Politico                    https://www.allsides.com/news-source/politico-...   \n",
       "Washington Times            https://www.allsides.com/news-source/washingto...   \n",
       "NPR News                    https://www.allsides.com/news-source/npr-media...   \n",
       "Wall Street Journal - News  https://www.allsides.com/news-source/wall-stre...   \n",
       "Townhall                    https://www.allsides.com/news-source/townhall-...   \n",
       "\n",
       "                                    bias  disagree  total_votes  \n",
       "name                                                             \n",
       "CNN (Web News)               left-center     23602        46509  \n",
       "Fox News                    right-center     26760        44170  \n",
       "Washington Post              left-center     12743        34177  \n",
       "New York Times - News        left-center     21535        33810  \n",
       "HuffPost                            left     18050        33106  \n",
       "Politico                     left-center     18453        29500  \n",
       "Washington Times            right-center      9385        28319  \n",
       "NPR News                          center     10629        26380  \n",
       "Wall Street Journal - News        center     15744        25616  \n",
       "Townhall                           right     12574        20206  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['total_votes'] = df['agree'] + df['disagree']\n",
    "df.sort_values('total_votes', ascending=False, inplace=True)\n",
    "\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Visualizing the data\n",
    "\n",
    "To make a bar plot we'll use Matplotlib with Seaborn's dark grid style:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('seaborn-darkgrid')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As mentioned above, we have too many news outlets to plot comfortably, so just make a copy of the top 25 and place it in a new `df2` variable:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>agree</th>\n",
       "      <th>agree_ratio</th>\n",
       "      <th>agreeance_text</th>\n",
       "      <th>allsides_page</th>\n",
       "      <th>bias</th>\n",
       "      <th>disagree</th>\n",
       "      <th>total_votes</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CNN (Web News)</th>\n",
       "      <td>22907</td>\n",
       "      <td>0.970553</td>\n",
       "      <td>somewhat disagrees</td>\n",
       "      <td>https://www.allsides.com/news-source/cnn-media...</td>\n",
       "      <td>left-center</td>\n",
       "      <td>23602</td>\n",
       "      <td>46509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fox News</th>\n",
       "      <td>17410</td>\n",
       "      <td>0.650598</td>\n",
       "      <td>disagrees</td>\n",
       "      <td>https://www.allsides.com/news-source/fox-news-...</td>\n",
       "      <td>right-center</td>\n",
       "      <td>26760</td>\n",
       "      <td>44170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washington Post</th>\n",
       "      <td>21434</td>\n",
       "      <td>1.682022</td>\n",
       "      <td>agrees</td>\n",
       "      <td>https://www.allsides.com/news-source/washingto...</td>\n",
       "      <td>left-center</td>\n",
       "      <td>12743</td>\n",
       "      <td>34177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York Times - News</th>\n",
       "      <td>12275</td>\n",
       "      <td>0.570002</td>\n",
       "      <td>disagrees</td>\n",
       "      <td>https://www.allsides.com/news-source/new-york-...</td>\n",
       "      <td>left-center</td>\n",
       "      <td>21535</td>\n",
       "      <td>33810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HuffPost</th>\n",
       "      <td>15056</td>\n",
       "      <td>0.834127</td>\n",
       "      <td>somewhat disagrees</td>\n",
       "      <td>https://www.allsides.com/news-source/huffpost-...</td>\n",
       "      <td>left</td>\n",
       "      <td>18050</td>\n",
       "      <td>33106</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       agree  agree_ratio      agreeance_text  \\\n",
       "name                                                            \n",
       "CNN (Web News)         22907     0.970553  somewhat disagrees   \n",
       "Fox News               17410     0.650598           disagrees   \n",
       "Washington Post        21434     1.682022              agrees   \n",
       "New York Times - News  12275     0.570002           disagrees   \n",
       "HuffPost               15056     0.834127  somewhat disagrees   \n",
       "\n",
       "                                                           allsides_page  \\\n",
       "name                                                                       \n",
       "CNN (Web News)         https://www.allsides.com/news-source/cnn-media...   \n",
       "Fox News               https://www.allsides.com/news-source/fox-news-...   \n",
       "Washington Post        https://www.allsides.com/news-source/washingto...   \n",
       "New York Times - News  https://www.allsides.com/news-source/new-york-...   \n",
       "HuffPost               https://www.allsides.com/news-source/huffpost-...   \n",
       "\n",
       "                               bias  disagree  total_votes  \n",
       "name                                                        \n",
       "CNN (Web News)          left-center     23602        46509  \n",
       "Fox News               right-center     26760        44170  \n",
       "Washington Post         left-center     12743        34177  \n",
       "New York Times - News   left-center     21535        33810  \n",
       "HuffPost                       left     18050        33106  "
      ]
     },
     "execution_count": 265,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2 = df.head(25).copy()\n",
    "\n",
    "df2.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With the top 25 news sources by amount of feedback, let's create a stacked bar chart where the number of *agrees* are stacked on top of the number of *disagrees*. This makes the total height of the bar the total amount of feedback.\n",
    "\n",
    "Below, we first create a figure and axes, plot the agree bars, plot the disagree bars on top of the agrees using `bottom`, then set various text features:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2042cfb12b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
    "\n",
    "ax.bar(df2.index, df2['agree'], color='#5DAF83')\n",
    "ax.bar(df2.index, df2['disagree'], bottom=df2['agree'], color='#AF3B3B')\n",
    "\n",
    "ax.set_ylabel = 'Total feedback'\n",
    "\n",
    "plt.yticks(fontsize='x-large')\n",
    "plt.xticks(rotation=60, ha='right', fontsize='x-large', rotation_mode='anchor')\n",
    "\n",
    "plt.legend(['Agree', 'Disagree'], fontsize='xx-large')\n",
    "plt.title('AllSides Bias Rating vs. Community Feedback', fontsize='xx-large')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For a slightly more complex version, let's make a subplot for each bias and plot the respective news sources.\n",
    "\n",
    "This time we'll make a new copy of the original DataFrame beforehand since we can plot more news outlets now.\n",
    "\n",
    "Instead of making one axes, we'll create a new one for each bias to make six total subplots:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 301,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2042d9d1b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df3 = df.copy()\n",
    "\n",
    "fig = plt.figure(figsize=(15,15))\n",
    "\n",
    "biases = df3['bias'].unique()\n",
    "\n",
    "for i, bias in enumerate(biases):\n",
    "    # Get top 10 news sources for this bias and sort index alphabetically\n",
    "    temp_df = df3[df3['bias'] == bias].iloc[:10]\n",
    "    temp_df.sort_index(inplace=True)\n",
    "    \n",
    "    # Get max votes, i.e. the y value for tallest bar in this temp dataframe\n",
    "    max_votes = temp_df['total_votes'].max()\n",
    "    \n",
    "    # Add a new subplot in the correct grid position\n",
    "    ax = fig.add_subplot(len(biases) / 2, 2, i + 1)\n",
    "    \n",
    "    # Create the stacked bars\n",
    "    ax.bar(temp_df.index, temp_df['agree'], color='#5DAF83')\n",
    "    ax.bar(temp_df.index, temp_df['disagree'], bottom=temp_df['agree'], color='#AF3B3B')\n",
    "    \n",
    "    # Place text for the ratio on top of each bar\n",
    "    for x, y, ratio in zip(ax.get_xticks(), temp_df['total_votes'], temp_df['agree_ratio']):\n",
    "        ax.text(x, y + (0.02 * max_votes), f\"{ratio:.2f}\", ha='center')\n",
    "    \n",
    "    ax.set_ylabel('Total feedback')\n",
    "    ax.set_title(bias.title())\n",
    "    \n",
    "    # Make y limit larger to compensate for text on bars\n",
    "    ax.set_ylim(0, max_votes + (0.12 * max_votes))\n",
    "    \n",
    "    # Rotate tick labels so they don't overlap\n",
    "    plt.setp(ax.get_xticklabels(), rotation=30, ha='right')\n",
    "\n",
    "plt.tight_layout(w_pad=3.0, h_pad=1.0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hopefully the comments help with how these plots were created. We're just looping through each unique bias and adding a subplot to the figure.\n",
    "\n",
    "When interpreting these plots keep in mind that the y-axis has different scales for each subplot. Overall it's a nice way to see which outlets have a lot of votes and where the most disagreement is. This is what makes scraping so much fun!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Final words\n",
    "\n",
    "We have the tools to make some fairly complex web scrapers now, but there's still the issue with Javascript rendering. This is something that deserves its own article, but for now we can do quite a lot.\n",
    "\n",
    "There's also some project organization that needs to occur when making this into a more easily runnable program. We need to pull it out of this notebook and code in command-line arguments if we plan to run it often for updates.\n",
    "\n",
    "These sorts of things will be addressed later when we build more complex scrapers, but feel free to let me know in the comments of anything in particular you're interested in learning about."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
